MétaCan
Menu
Back to cohort

To Be Me in Family

2024· book-chapter· en· W4403083417 on OpenAlexaff
Bedrettin Isik

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsProvincial Laboratory of Public Health
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

This text explains the importance of the concept of "Being Me" in the family and what needs to be done about it. "Being me" is possible when the individual knows himself, is spiritually strong, determines his priorities, knows and fulfills his limits and responsibilities, and is also aware of the psychological wounds he has experienced in the past. This process begins with the individual’s increasing deep awareness of self-knowledge. The process of self-knowledge enables the individual to explore his inner world and understand emotional states. “Being me” requires being spiritually strong. Spiritually strong people manage their emotions, thoughts and behaviors in a way that provides them success in life. Determining priorities means understanding what the individual values in life and acting accordingly. Likewise, knowing responsibilities and boundaries allows for a healthy balance in social relationships and maintaining the necessary space for personal growth. Recognizing wounds means recognizing past traumas and taking steps towards the healing process. It refers to the individual’s selfishness of prioritizing his own needs in the process of "being me" as "not being able to break away from me". On the contrary, it refers to situations such as being unable to protect one’s own freedom and personal identity and creating one’s own happiness through the happiness and preferences of one’s partner, as "getting lost in you". In this context, the process of "Being Me" is an important journey for the individual to discover himself and become spiritually stronger and mature. When spouses who have completed this process come together, a family that is happy, healthy and knows what it wants is formed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0080.004
Scholarly communication0.0040.006
Open science0.0010.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0560.015

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.130
GPT teacher head0.471
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicHealth, psychology, and well-beingFrench-language works237,207